A fire insurance company wants to see if the amount of fire damage (y) in major residential fires is related to the distance between the residence and the nearest fire station (x). The study is to be conducted in a large suburb of a major city, a sample of 15 recent fires in this suburb is selected. The 15 values and the printout follow: A) State the Null and Alternative Hypotheses. In Excel B) Construct a scatter diagram for the data; add a linear trend line to the scatter diagram. C) Run the appropriate test at the 5% significance level to see if there is a relationship between cost of damage and the distance to the nearest fire station. Choose cell C22 for your output. D) Highlight the p-value & make a decision based on the results of your test. What does this mean in this case?
Case | Distance to Fire Station | Amount of damage ($) |
1 | 3.4 | 26.2 |
2 | 1.8 | 17.8 |
3 | 4.6 | 31.3 |
4 | 2.3 | 23.1 |
5 | 3.1 | 27.5 |
6 | 5.5 | 36.0 |
7 | 0.7 | 14.1 |
8 | 3.0 | 22.3 |
9 | 2.6 | 19.6 |
10 | 4.3 | 31.3 |
11 | 2.1 | 24.0 |
12 | 1.1 | 17.3 |
13 | 6.1 | 43.2 |
14 | 4.8 | 36.4 |
15 | 3.8 | 26.1 |
A fire insurance company wants to see if the amount of fire damage (y) in major...
Distance 3.4 1.8 4.6 2.3 3.1 5.5 0.7 3.0 Damage 26.2 17.8 31.3 23.1 27.5 36.0 14.1 22.3 Distance 2.6 4.3 2.1 1.1 6.1 4.8 3.8 Damage 19.6 31.3 24.0 17.3 43.2 36.4 26.1 For this data set, what values of explanatory and response variables, that is what coordinate pair (x,y), is the least-squares regression equation guaranteed to pass through? See page 192 in the course text.
2. Suppose a fire insurance company wants to relate the amount of fire damage in major residential fires to the distance between the burning house and the nearest fire station. A random sample of 15 fires in a large suburb is selected. The amount of damage (thousands of dollars) and the distance (miles) between the fire and the nearest fire station are recorded for each fire. The following simple linear regression model was used: Fire Damagei=B0+B1(Distance from Fire Station)i+Ei Coefficients...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (%). The MegaStat output is reported here: df ANOVA...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (). The MegaStat output is reported here: ANOVA table...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (). The MegaStat output is reported below. ANOVA table...
Dependent Variable: Y $1000 fire damage Analysis of Variance Sum of Mean Source DF Squares Square F Value Pro Model 1 841.76636 841.76636 156.886 0.0001 Error 13 69.75098 5.36546 Total(Adjusted) 14 911.51733 Root MSE 2.31635 R-square 0.9235 Dep Mean 26.41333 Adj R-sq 0.9176 C.V. 8.76961 Parameter Estimates Parameter Standard T for H0: Variable Estimate Error Parameter=0 Prob > |T| INTERCEPT 10.277929 1.42027781 7.237 0.0001 X 4.919331 0.39274775 12.525 0.0001 Dep Actual Predicted 95% LCL 95% UCL 95% LCL 95% Obs ...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (). The MegaStat output is reported below ANOVA table...